In an age of instantaneous access to information, the ability for students to synthesize understanding from big datasets is necessary for today’s workforce. My goal as an instructor is to teach students ecological concepts and transferable work skills. My teaching focuses on training students on how to address spatial and ecological problems with an emphasis on the use of computational and GIS tools.

Courses taught:

  • BIOL 4395/5301 Spatial Ecology (Fall 2021) Spatial ecology focuses on understanding ecological patterns and processes across space. This course will introduce students to theory, analytical techniques, and applications from spatial ecology, including the current state of the field. Students will learn how to use common spatial analytical methods and will be expected to apply these to answer scientific questions. A basic proficiency with the R programming language and GIS is recommended, but motivated students without prior experience will have opportunities to learn these skills.
  • FNR 353: Natural Resources Measurement (Spring 2021)  An introduction to sampling techniques and fundamental principles for measuring natural resources.
  • FNR 598: Introduction to R Programming (co-taught Fall 2018)
    This course is offered to students interested in learning R (a statistical language) and its applications in solving ecological problems without any previous experience with R programming. Topics include: an introduction to R, data manipulation and exploration, basic data analysis, and data visualization. Students will also have the opportunity to utilize skills learned in class to carry out a small data analysis project.
  • FNR 210: Natural Resource Information Management (co-taught Spring 2018)
    Introduction to analysis and management of natural resources data with special emphasis on geographic information systems (GIS) and applications in ArcGIS Pro. Lectures focus on exploring the fundamental principles of cartography, GIS, coordinate systems, projections, and methods of representing spatial data. Students will complete homework exercises and lab projects with the goal of achieving proficiency in essential GIS techniques as applied to a variety of natural resources-based topics including Urban Ecology, Forest Biology, Fisheries and Aquatic Sciences, and Wildlife Science. All students will complete an independent project on a natural-resources topic of their choosing. All aspects of the course will emphasize development of the independent critical thinking and problem-solving skills that are essential to achieving eventual mastery of GIS.